System and method for interview training with time-matched feedback

ABSTRACT

The present disclosure generally relates to interview training and providing interview feedback. An exemplary method comprises: at an electronic device that is in communication with a display and one or more input devices: receiving, via the one or more input devices, media data corresponding to a user&#39;s responses to a plurality of prompts; analyzing the media data; and while displaying, on the display, a media representation of the media data, displaying a plurality of analysis representations overlaid on the media representation, wherein each of the plurality of analysis representations is associated with an analysis of content located at a given time in the media representation and is displayed in coordination with the given time in the media representation.

CROSS-REFERENCE TO RELATED APPLICATIONS

This application claims priority to the U.S. Provisional PatentApplication Ser. No. 62/654,088, filed Apr. 6, 2018, entitled “Systemand Method for Interview Training with Time-Matched Feedback,” thecontent of which is hereby incorporated by reference for all purposes.

FIELD OF THE DISCLOSURE

This relates generally to interview training and providing interviewfeedback.

BRIEF DESCRIPTION OF THE DRAWINGS

For a better understanding of the various described embodiments,reference should be made to the Detailed Description below, inconjunction with the following drawings in which like reference numeralsrefer to corresponding parts throughout the figures.

FIG. 1 illustrates an exemplary interview analysis and feedback processin accordance with some embodiments of the disclosure.

FIGS. 2A-J illustrate exemplary user interfaces in accordance with someembodiments of the disclosure.

FIG. 3 illustrates exemplary user interfaces in accordance with someembodiments of the disclosure.

FIG. 4 illustrates exemplary user interfaces in accordance with someembodiments of the disclosure.

FIG. 5 illustrates an exemplary interview filtration process inaccordance with some embodiments of the disclosure.

FIG. 6 illustrates exemplary user interfaces in accordance with someembodiments of the disclosure.

FIGS. 7A-B illustrate an exemplary video filtration user interface inaccordance with some embodiments of the disclosure.

FIG. 8 illustrates an exemplary interview analysis process in accordancewith some embodiments of the disclosure.

FIG. 9 illustrates an exemplary video filtration user interface inaccordance with some embodiments of the disclosure.

FIG. 10 illustrates an exemplary coaching user interface in accordancewith some embodiments of the disclosure.

FIG. 11 illustrates an exemplary user interface for reviewing andediting media content in accordance with some embodiments of thedisclosure.

FIG. 12 illustrates an exemplary user interface for reviewing andediting media content in accordance with some embodiments of thedisclosure.

FIG. 13 illustrates an exemplary user interface for reviewing andediting media content in accordance with some embodiments of thedisclosure.

FIG. 14 illustrates an exemplary user interface for reviewing andediting media content in accordance with some embodiments of thedisclosure.

FIG. 15 illustrates an exemplary user interface for reviewing andediting media content in accordance with some embodiments of thedisclosure.

FIG. 16 illustrates an exemplary user interface for reviewing andediting media content in accordance with some embodiments of thedisclosure.

FIG. 17 illustrates an exemplary user interface for reviewing andediting media content in accordance with some embodiments of thedisclosure.

FIG. 18 illustrates an exemplary user interface for reviewing andediting media content in accordance with some embodiments of thedisclosure.

DETAILED DESCRIPTION

In the following description of embodiments, reference is made to theaccompanying drawings which form a part hereof, and in which it is shownby way of illustration specific embodiments that are optionallypracticed. It is to be understood that other embodiments are optionallyused and structural changes are optionally made without departing fromthe scope of the disclosed embodiments.

FIG. 1 illustrates an exemplary interview analysis and feedback processin accordance with some embodiments of the disclosure. At step 1 of theprocess, the user can be provided with a list of categories ofquestions, and the user can select one of the categories of questions.For example, possible categories of questions can be a 1 minute elevatorpitch, a standard interview, a presentation style interview, or a publicspeaking engagement. Other suitable categories of questions relevant totraining an interviewee may be possible. The categories of questions maybe displayed as a card or icon or a text list. In some embodiments, theuser can scroll through the categories of questions. For example,scrolling can be by swiping the screen left or right, up or down, or byactuating a scroll bar.

In some embodiments, at step 1 of the process, instead of selecting acategory of questions to record, the user can choose to upload apre-recorded video for analysis. In some embodiments, this video can beof the user or exemplary videos of other candidates or famous speeches.The system can analyze and process the uploaded video independent of thecategories of questions. For example, the system may skip step 2 and 3and move directly to step 4 for quality analysis and full analysis. Insome embodiments, this feature can provide the user analysis andfeedback and gain insights from exemplary models.

At step 2 of the process, the system will prompt the user to prepare forrecording data. In some embodiments, the data recorded can be audio onlydata or both audio and video data. In some embodiments, the user canupload a pre-recorded audio or video file. A description of the categoryof questions can be displayed. In some embodiments, the user may actuatea user interface element to select the category and begin recording.

At step 3 of the process, the system will begin recording data. In someembodiments, recording data may occur by using the microphone or thecamera built into the user device (e.g., a smartphone, a computer, atablet computer, etc.). In some embodiments, external recordingmechanisms may be used. In some embodiments, a display of the recordingcan be displayed on the device. In some embodiments, a series ofinterview questions are presented to the user of the device, and theuser responds to those questions, which the user device records. In someembodiments, the series of interview questions are displayed in textform and a video of an interviewer asking the question can also bedisplayed concurrently. In some embodiments, one or more of the seriesof interview questions are displayed in only a text form. In someembodiments, a live two-way conferencing session can be used to presentinterview questions to the user of the device. For example, VOIP can beused to connect a live interviewer to the user. In some embodiments,augmented reality can be used in addition to displaying a liveinterviewer (e.g., depicting the interviewer as sitting on another sideof an interview table opposite the user). In some embodiments, adigitally-rendered avatar can be used to present interview questions.The digitally-rendered avatar can be three-dimensional. Thedigitally-rendered avatar can visually and audibly present questions tothe user. The computer-rendered avatar can also sync its visualmovements with the audio (e.g., moving a mouth in sync with words of thequestion). In some embodiments, the digitally-rendered avatar may adjustits visual movements to make eye-contact with the user (e.g., if theinterviewer is looking down at the screen, the digitally-rendered avatarcan adjust its eye positon to appear to be looking directly at theuser). In some embodiments, the digitally-rendered avatar can display asif the avatar was in a video chat with the user. In some embodiments,other suitable means of presenting a question to the user can be used.In some embodiments, step 3 continues until the user responds to everyinterview question in the active category of questions and the userdevice records each of the user's responses. In some embodiments, theuser can actuate a button to indicate completion of one question andmove to the next question. In some embodiments, video can be recorded onthe user device. In some embodiments, video can be recorded on a remotedevice and then transmitted to the user device.

At step 4 of the process, the system analyzes the recorded data forquality. In some embodiments, analyzing the recording for qualityincludes analyzing the voice strength, minimum length, and thevisibility of the user. In some embodiments, if the quality analysisfails to yield a suitable quality, the user is prompted to re-record thedata and the system returns to step 2 of the process. In someembodiments, the user can view the recorded data. In some embodiments,the user can confirm the recorded data and actuate a button to begininterview analysis.

At step 5 of the process, the recorded data is analyzed by the userdevice and/or in combination with a remote computer system. In someembodiments, analyzing the recorded data can include identifying wordsor phrases to avoid. In some embodiments, analyzing the recorded datacan include identifying cliché words or phrases, filler words, orhesitations. In some embodiments, analyzing the recorded data caninclude analyzing the data for clarity and understandability. Forexample, the responses can be analyzed to determine how well theresponse answers the question posed to the user. In some embodiments,analysis can include detecting accents or dialects. In some embodiments,accent and dialect analysis can provide the user feedback onpronunciation, enunciation, or other clarity and understandabilitymetrics. In some embodiments, analyzing the recorded can includedetermining the grade level of the user's responses. In someembodiments, analyzing the recorded data can include identifying theconversation speed of the user (e.g., words per minute). In someembodiments, analyzing the recorded data can include identifying thetone of the user response. In some embodiments, identifying the tone ofthe user response can include identifying the energy level of the user.In some embodiments, identifying the tone of the user response caninclude the attitude of the user. In some embodiments, identifying thetone of the user response can include the mood of the user. In someembodiments, identifying the tone of the user response can includeidentifying the demeanor of the user. In some embodiments, analysis canbe based on the words, phrases, statements or sentences used by theuser. In some embodiments, analysis can be based on the facialexpressions or body language of the user. In some embodiments, analysisof facial expressions or body language of the user may include analysisof cultural norms. For example, if the user is practicing for aninterview in a certain country, analysis may be performed on whatgestures or head movements to avoid. In some embodiments, analysis canbe based on volume, speed, pitch, or other voice characteristics of theuser. In some embodiments, analysis can be based on other suitablemetrics. In some embodiments, the recorded data can be given a score. Insome embodiments, the score can be based on some or all of the analysis.In some embodiments, any or all of the above analysis is performed byartificial intelligence, machine learning, neural network, or othersuitable means. In some embodiments, a live interview coach can analyzethe video and provide the aforementioned feedback. In some embodiments,the live interview coach can provide voice, video, or textual feedback.

In some embodiments, the analysis can be merged with the video. In someembodiments, merging the analysis with the video includes associatingthe analysis and feedback with the time of the event which caused theanalysis feedback. For example, if the system identifies a filler wordat 1:30 in the recording, the analysis and feedback to avoid the fillerword can be associated with 1:30 in the recording. In some embodiments,the analysis and feedback can be associated with slightly before orafter the event (e.g., 0.5 seconds, 1 second, 2 second) to promoteviewability.

At step 6 of the process, the analysis merged video can be saved andposted to a private cloud account. In some embodiments, the videorecording including the overlaid pop-up icons can be exported. In someembodiments, a watermark can be embedded into the exported video. Forexample, a company watermark or branding can be embedded into thebackground, the foreground, a corner of the video, or any other suitablelocation. In some embodiments, the saved video can be a proprietary fileformat. In some embodiments, the saved video can be stored in the memoryof the application. In some embodiments, the saved video can be exportedto a standard file format, such as AVI, MP4, or any other suitable fileformat. In some embodiments, different video and audio encodings can beused. In some embodiments, only the video recording is exported. In someembodiments, the video can be saved to the user's local storage on thedevice. In some embodiments, the video can be uploaded or posted to acloud account. In some embodiments, the cloud account can be a privateuser account associated with the application. In some embodiments, thecloud account can be a private user account on a public cloud storageoperator. In some embodiments, the cloud account can be a public storagelocation. In some embodiments, other suitable storage locations can beused.

At step 7 of the process, shareable links to the video can be generated.In some embodiments, the shareable link is a Uniform Resource Locator(URL) to a web location. In some embodiments, the shareable link is aproprietary file identifying the location of the video. In someembodiments, other suitable pointers can be used. In some embodiments,step 7 is not performed.

FIG. 2 illustrates exemplary user interfaces in accordance with someembodiments of the disclosure. Exemplary user interface UI1 illustratesdisplaying categories of questions 210 for the user to select. In someembodiments, categories of questions 210 can be elevator pitches,standard interviews, or presentations or other categories of questions210 can be provided. In some embodiments, the user can select a categoryof question 210, which then displays the sub-categories of questions 212associated with the selected category of question. In some embodiments,the list of categories of questions 210 is scrollable. When a categoryof questions 210 is selected, a quantity of subcategories 211 isdisplayed. In some embodiments, subcategories of questions 212 aredisplayed as cards, icons, or a text list. In some embodiments, thesubcategories of questions 212 can be scrollable. In some embodiments,the subcategories of questions 212 can include a representation of thesubcategory. For example, the representation can be a still picture, ananimated video, or other suitable representation. In some embodiments,the subcategories of questions 212 can include a description of thesubcategory 213. In some embodiments, the user interface UI1 can includea representation of the user 214. In some embodiments, therepresentation of the user 214 can be the user's name, user's profilepicture, or a unique identifier (e.g. screen name or ID). In someembodiments, the representation of the user 214 can be any othersuitable representation. In some embodiments, the user interface UI1includes a font adjustment element 215 to adjust the font size of thetext in the user interface UI1. In some embodiments, the font adjustmentelement 215 is set to a default font size. In some embodiments, when theuser sets the font adjustment element 215 to a setting other than thedefault font size, the setting persists.

Exemplary user interface UI2 illustrates prompting the user to preparefor recording data. In some embodiments, user interface UI2 can bedisplayed when the user selects a category of questions 212. In someembodiments, UI2 can include a description of the category of questions220. In some embodiments, UI2 can include a representation of thecategory of questions 221 (e.g., still picture, an animated video, orother). In some embodiments, UI2 can include a representation of theuser 223. In some embodiments, the representation of the user 223 can bea still photograph. In some embodiments, the representation of the user223 can be a live video of the user taken from a camera of the device.In some embodiments, UI2 can include a font adjustment element 224 toadjust the font size of the text in the user interface UI2. In someembodiments, the setting of font adjustment element 224 may be thesetting of font adjustment element 215. In some embodiments, UI2 caninclude a user interface element 225, actuation of which will begin datarecording.

Exemplary user interface UI3 illustrates recording data related to theselected category of questions. In some embodiments, UI3 can bedisplayed after user actuates user interface element 225 and begins aninterview session. In some embodiments, UI3 can include a text prompt ofthe interview question 230. In some embodiments, UI3 can display apre-recorded video of an interviewer 231 asking the interviewerquestion. In some embodiments, UI3 can display a representation of theuser 232. In some embodiments, the representation of the user 232 can bea live video of the user taken from a camera of the device. In someembodiments, the representation of user 232 can be a digitally-renderedavatar. The digitally-rendered avatar can be three-dimensional. Thedigitally-rendered avatar can sync its movements to the visual and audiodata of the video. In some embodiments, the video will be analyzed, andthe digitally-rendered avatar can sync its movements to the movements ofthe user (e.g., blinking, smiling, head position, eye position, andmouth movements can be analyzed and mirrored in the movements of thedigitally-rendered avatar). The digitally-rendered avatar has theadvantage of removing a potential factor for bias by displaying onlyrepresentation of the user instead of visually displaying the user. Insome embodiments, UI3 can display an indicator 234 to indicate that datais currently being recorded.

Exemplary user interface UI4 illustrates an exemplary video recordingconfirmation page. In some embodiments, UI4 can include a representationof the recorded video 240. In some embodiments, the representation ofthe recorded video 240 can be interactive. In some embodiments, the usercan actuate the representation of the recorded video 240 to viewplayback of the recorded video. In some embodiments, UI4 can include theresults of the video quality analysis 241. In some embodiments, theresults of the video quality analysis 241 can include an indication ofthe quality of the voice strength of the user, the maximum length of thevideo, or the facial visibility of the user. In some embodiments, theresults of the video quality analysis 241 can provide feedback on how toimprove the video quality analysis 241. In some embodiments, if theresults of the video quality analysis 241 are not sufficient, then userinterface element 242 is not enabled (e.g. greyed out, crossed out, notdisplayed, or other suitable means). In some embodiments, if the resultsof the video quality analysis 241 are sufficient, then user interfaceelement 242 is enabled. In some embodiments, the user can actuate userinterface element 242 to begin analysis of the video data.

Exemplary user interface UI5 illustrates an exemplary analysis andfeedback selection page. In some embodiments, after the analysis isperformed and analysis is merged with the video, the user can selectwhich merged video to playback. For example, if the user has recordeddata for several different categories of questions, then UI5 may displaymultiple videos with analysis and feedback for the user to select.

Exemplary user interface UI6 illustrates an exemplary analysis andfeedback playback interface. UI6 can display and playback the analyzedvideo 260 (e.g., the video selected from UI5). While the playback is inprogress, representations of analysis or feedback may pop up over thevideo 261 (e.g., as an overlay). The representations of analysis orfeedback can be graphical icons or text, or both. The representationscan fade in and persist for a threshold amount of time and fade out(e.g., 0.5 seconds, 1 second, 1.5 seconds, 2 seconds, or other suitableamounts of time). In some embodiments, the representations can have anopaque or translucent background. In some embodiments, therepresentations of analysis or feedback can be associated with the timeof the event which caused the analysis feedback. For example, if thesystem identifies a filler word at 1:30 in the recording, therepresentation of analysis or feedback can be associated with 1:30 inthe recording. In some embodiments, the representation of analysis orfeedback will then be displayed when the playback of the recording hasreached the associated time (e.g., when playback of the recordingreaches 1:30). In some embodiments, the analysis and feedback can beassociated with slightly before or after the event (e.g., 0.5 seconds, 1second, 2 second) to promote viewability.

UI6 can include tabs of analysis and feedback 262. The tabs 261 can bethe statements made by the user along with feedback, or analysis of thetone of the video, or other insights that can benefit the interviewer.In some embodiments, the statements tab can display representations ofquantitative analysis 263. For example, the quantitative analysis can bethe talking speed of the user (words per minute), the educational levelof the speaker, the level of clarity (e.g., enunciation, word choice,sentence structure, etc.), and the total number of issues identified.UI6 can include a feedback pane that displays items of feedback 264. Forexample, items of feedback 264 can include the statement that triggeredthe feedback, the analysis, and recommendations for improvement. Thefeedback panel can be a scrollable list. In some embodiments, thefeedback panel will automatically scroll based on the playback locationof the video in accordance with the times associated with the items inthe feedback panel. In some embodiments, the user can scroll thefeedback panel forward or backwards without affecting the playback ofthe video. In some embodiments, scrolling the feedback forward orbackwards will cause the playback of the video to fast forward orrewind. The items of feedback 264 are also selectable such thatselecting the items will move the playback location of the video to thelocation associated with the feedback item. For example, if the userscrolls the feedback panel to 1:30 in the video while the video is stillplaying at 1:00, and selects the feedback item associated with 1:30 inthe video, the video playback will move to 1:30. The video will thenplayback thereby showing the statements that triggered the feedback. Insome embodiments, selecting different portions of the feedback panetriggers different responses. In some embodiments, selecting thetranscribed text will cause playback of the statement that wastranscribed, and playback will continue beyond the statement that wastranscribed (e.g. until reaching the end of the video or interrupted bythe user). In some embodiments, selecting the analysis andrecommendation element will cause playback of only the statement thattriggered the feedback (e.g., playback will end at the end of thestatement). UI6 can include an overall analysis score for the video 265.Overall analysis score can be based on some or all of the aforementionedanalyses or other suitable analyses.

In some embodiments, UI6 can include a tone tab to provide feedback onthe user's tone (as described in further detail below with respect toFIG. 4). In some embodiments, UI6 can include an insights tab. In someembodiments, the insights tab can include discussion on how the usershould answer a particular question, the consequences of different typesof responses, or what the interviewer is generally looking for withrespect to certain questions. In some embodiments, the insights tab caninclude recorded interviews of experts discussing the aforementionedtopics. In some embodiments, the insights tab can be specific feedbackon the questions presented to the user and how the user responded to thequestions.

In some embodiments, if a live coach is used to analyze the video, thefeedback pane may include pre-recorded video or audio of the coachproviding feedback. In some embodiments, the coach can provide textualfeedback, in which case the feedback pane may look the same or similarto the feedback pane described above.

Exemplary user interface UI6 illustrates an exemplary analysis andfeedback playback interface in a full-screen playback mode. In someembodiments, the user can trigger this mode by actuating a button or byturning the device from portrait to landscape. In some embodiments, whenin full-screen playback mode, the feedback pane is not displayed. Insome embodiments, only the pop-up icons are displayed during playback.In some embodiments, the feedback tray can be displayed with atransparent or a translucent background. In some embodiments, the itemsof feedback (e.g., items of feedback 264 in UI6) can be displayed as anoverlay. In some embodiments, the items of feedback can fade-in andfade-out as the video is played. In some embodiments, the user canscroll through the items of feedback when they are displayed. In someembodiments, selecting the items of feedback will exit the full screenmode and perform actions described with respect to UI6.

Exemplary user interface UI8-U10 illustrates the progression of the userinterface as video is played back. For example, UI9 illustrates a pop-upand overlaid icon indicating an item of feedback (e.g. hand icon). Insome embodiments, the pop-up and overlaid icons can be therepresentations of feedback and analysis as described with respect toUI6. As described in further detail above with respect to UI6, in someembodiments, the pop-up and overlaid icon can be associated with thetime of the event which caused the pop-up and overlaid icon. Forexample, if the system identifies a filler word at 1:30 in therecording, the pop-up and overlaid icon can be associated with 1:30 inthe recording. In some embodiments, the pop-up and overlaid icon willthen be displayed when the playback of the recording has reached theassociated time (e.g., when playback of the recording reaches 1:30). Insome embodiments, the pop-up and overlaid icon can be associated withslightly before or after the event (e.g., 0.5 seconds, 1 second, 2second) to promote viewability.

UI10 illustrates the item of feedback moving from a first location to asecond location (e.g., the icon pans to the side of the video and fadesout as the portion of the video corresponding to the icon is played andpassed). In some embodiments, multiple items of feedback can bedisplayed concurrently (e.g., while hands icon is being displayed,thumbs up icon is displayed).

FIG. 3 illustrates an exemplary user interface in accordance with someembodiments of the disclosure, such as UI10 in FIG. 2.

FIG. 4 illustrates an exemplary user interface in accordance with someembodiments of the disclosure. In some embodiments, a tone tab isdisplayed. In some embodiments, the tone tab displays the analysis andfeedback associated with the tone of the user. In some embodiments, thetone tab can display representations of qualitative analysis 401. Forexample, the qualitative analysis can be the energy level of the user,the attitude of the user, the mood of the user, and the demeanor of theuser. The representations of qualitative analysis 401 can includefeedback regarding their desirability (i.e. “Neutral,” “OK,” “Joy,”etc.). The tone tab can also include a feedback pane, similar to thefeedback pane described above with respect to the Statements tab. Insome embodiments, the tone tab can display the question presented to theuser 402. In some embodiments, the tone tab can display a representationof the analysis 403 of the response to the question presented to theuser.

FIG. 5 illustrates an exemplary interview filtration process inaccordance with some embodiments of the disclosure. In step 1 of thefiltration process, the user identifies the filter to be used ingenerating a new video. In step 2 of the filtration process, the processenables a new video to be generated. In step 3 of the filtrationprocess, analysis is merged with the original video. In step 4 of thefiltration process, a new video (and accompanying audio) is generatedremoving the items that have been filtered by the user selected filter.For example, certain words, phrases, filler words, or unnatural pausescan be filtered out by the filtration process. In some embodiments, thenew video will have no issues identified in the analysis, substantiallyno issues identified in the analysis, or a reduced amount of issuesidentified in the analysis compared to before the filtration process. Insome embodiments, the new video can be the non-filtered portions of theoriginal video stitched together. In step 5 of the filtration process,the analysis is merged into the new video. In some examples, theanalysis merged into the new video can contain the remaining analysisand feedback (e.g., from FIGS. 1-4 above) relating to content that wasnot filtered out of the original video. In step 6 of the filtrationprocess, the new video can be saved and uploaded or posted to a privatecloud, similar to step 6 of the process described with respect to FIG.1, above. At step 7, a shareable link can be generated, similar to step7 of the process described with respect to FIG. 1, above.

FIG. 6 illustrates exemplary user interfaces in accordance with someembodiments of the disclosure. In some embodiments, the user can choosethe filter by actuating a user interface element 600. In someembodiments, actuating user interface element 600 displays a pluralityof filter options for the user. For example, the user may choose tofilter the video without common issues, with only the issues, or to viewthe original video (e.g., no filtration). In some embodiments, thefiltration process can perform a contextual natural language processing(NPL) to identify words, phrases, or issues to filter during thefiltration process.

FIG. 7 illustrates an exemplary video filtration user interface inaccordance with some embodiments of the disclosure. In some embodiments,a video filtration process will identify portions of the video and audiothat contain elements that have been selected to be filtered. Forexample, the video filtration process may identify undesirable phrases,filler words, or unnecessary pauses to filter as identified in theanalysis of FIGS. 1-4. In some embodiments, the video filtration userinterface can provide playback of the video and visually distinguish thesegments of the video marked for filtration from segments of the videothat are not marked for filtration (e.g., by color, label, or any othersuitable visual distinguishing means). For example, as part of the videofiltration process, the user may cause playback of the video and whenthe playback reaches portions of the video that the filtration processhas identified to be removed, those portions will be displayed with ared tinge cast over the video. In some embodiments, other suitable typesof indicators that the portion of the video has been marked for removalcan be used. After performing the filtration process, the generatedvideo may be a stitched version of the portions of the original videothat were not filtered. In some embodiments, the stitching of the videomay be based on an analysis of the video and audio in order to blend thevideo and prevent unnatural skipping of the video or stuttering of theaudio. In some embodiments, the filtered video appears substantiallyseamless. For example, the stitching process may analyze the backgroundimages and the position of the person in the recording to match, asclosely as possible, frames which will provide a substantially seamlesstransition.

FIG. 9 illustrates an alternate embodiment for a video filtration userinterface. In some embodiments, the user interface allows a user tocustomize different filters to apply to a video, as shown in UI11-13.

In some embodiments, the video filtration user interface can be used bya creator creating prompts (e.g. interview questions). In the depictedexample, UI11 comprises UI element 902 for adding a new prompt. UIelement 902 can be selected (e.g. using a mouse or using a finger) tocause UI12 to be displayed. UI12 allows the user to specify the prompt,a duration of the answer (e.g., in a recorded video), and custom filtersto be automatically applied to the answer. Upon a user selection of theUI element 904, UI13 is displayed. UI13 provides a plurality ofaffordances (e.g., check boxes) for customizing a list of filters thatcan be applied to the video. One or more filters can be selected byselecting one or more UI elements 906. In some embodiments, thecustomized list of filters must be saved by selecting UI element 908.

The video filtration interface can utilize a time-synced transcriptionof the audio or video. In some embodiments, a transcript can begenerated based on speech detected in the video. For example, the videomay comprise a recorded user speaking into a microphone, and atranscript can be generated based on the recorded user's speech. In someembodiments, the transcript is time-synced to the video. For example,each word in the transcript can be associated with a time segmentcomprising a time in the video when the recorded user begins speakingthe word and a time in the video when the recorded user finishesspeaking the word. In some embodiments, confidence data is associatedwith each word. The confidence data can indicate the confidence that theword is accurately transcribed. In some embodiments, confidence data isassociated with each associated time segment. The confidence data canindicate the confidence that the association accurately links the timesegment and the portion of the video. However, it is contemplated thatother methods of time-syncing the transcript to the video can be used.For example, the beginning and end of each word can be associated with aparticular frame or time stamp in the video. In some embodiments, thetime-synced transcript can also associate pauses with the correspondingtime segment in the recorded video. In some embodiments, every pause hasan associated time segment. In some embodiments, only pauses longer thana certain threshold have an associated time segment. In someembodiments, punctuation has an associated time segment. In someembodiments, laughter has an associated time segment. In someembodiments, the time-synced transcript can comprise transcribedphonemes instead of transcribed words. According to those embodiments,the phonemes can also be time-synced in a similar manner as transcribedwords. In some embodiments, multiple transcript versions from differentproviders can be generated. In some embodiments, an API call can be madeto one or more transcript generating algorithms. In some embodiments,the user can select the transcript version they wish to use. In someembodiments, the used transcript version is selected automatically. Insome embodiments, the time-synced transcript is stored separately fromthe video file. For example, the time-synced transcript can be stored asa JSON file.

Filters can comprise a list of words or phrases that are undesirable andshould be filtered out of the video. For example, the “UnnecessaryWords” filter corresponding to UI element 906 a can comprise one or morepredefined words including “like” and “uh.” When the filtercorresponding to UI element 906 a is activated, the submitted video canbe edited so that portions of the video where a recorded user says“like” or “uh” will be removed from the submitted video. For example,the video filtration process can analyze the generated transcript bycomparing the words in the transcript with any selected filters. If thevideo filtration process identifies one or more words in the transcriptthat matches one or more words in the selected filters, a filter can betriggered and the video filtration process can edit the video such thatthe corresponding time segments are removed. The corresponding timesegments can be removed such that the remaining time segments can bestitched together to create a continuous, edited video. The editedresult can be in accordance with the embodiments described in FIG. 7wherein the resulting edited video prevents unnatural skipping of thevideo or stuttering of the audio. In some embodiments, the resultingedited video can display simple cuts to the next segment. In someembodiments, the resulting edited video can utilize animations betweensegments (e.g., fading or motion blending). In some embodiments, filterscan comprise a list of words or phrases that are desirable. If the videofiltration process triggers a filter of positive words, thecorresponding time segments may not be removed. In some embodiments, avisual indicator may be displayed to provide positive reinforcement. Insome embodiments, filters comprise 20-100 words, but it is noted thatany number of words or combinations of words can be used.

In some embodiments, filters can comprise programming logic. In someembodiments, filters can comprise association data. The association datacan store an association of a filter with one or more user clients. Insome embodiments, filters can comprise type data. The type data canstore information regarding types of speech to be filtered out. Forexample, type data can be flag (e.g., specific words or phrases),hesitation (e.g., pauses in speech), duplicate (e.g., immediatelyrepeated words or phrases), or overuse (e.g., often repeated words orphrases). In some embodiments, an icon can be displayed during videoplayback when a filter is applied. The icon can be associated with aparticular filter or set of filters and visually indicate which filteror set of filters is applied to the video. In some embodiments, filterscan comprise penalty data. The penalty data can determine how ananalysis score should be changed when one or more portions of a videoare edited according to a filter. For example, the penalty data mayassign a numeric value that can be deducted from the analysis score foreach instance the filter is triggered by the video. In some embodiments,the penalty data may assign a negative number that can be deducted fromthe analysis score if the filter comprises positive words or phrases. Insome embodiments, filters can comprise sort order data. The sort orderdata can determine which filter should be visually indicated when one ormore words trigger more than one filter. In some embodiments, filterscan comprise string data. The string data can cause a string of text todisplay when a filter is triggered. For example, if the word “Father” isused such that an overuse filter is triggered, the text “The word‘Father’ is often used” may be displayed while the video is played back.

In some embodiments, filters can comprise exceptions. For example, thefilter corresponding to UI element 906 a can have a rule based onprogramming logic to not filter out “like” when used in the phrase “Ilike to.” For example, if the recorded user says “I like to ski,” thevideo filtration process can identify that the word “like” is usedimmediately after the word “I” and immediately before the word “to.” Thevideo filtration process can then determine that an exception is met andforgo removing the time segment corresponding to the word “like.”

In some embodiments, filters can comprise programming logic that createsa dynamic filter. For example, a dynamic filter can identify overusedwords in the submitted video. In accordance with this embodiment, thevideo filtration process can count the frequency of each word used inthe submitted video based on the created transcript. In someembodiments, the dynamic filter can identify words that are used at afrequency above a specified threshold. In some embodiments, the dynamicfilter can identify words that are used at a frequency above a relativethreshold determined by total number of words used or the length of thesubmitted video. In some embodiments, the dynamic filter does not flagcommon words like “of” or “the.”

In another example, the “Duplicate Words” filter associated with UIelement 906 b can also be a dynamic filter. In accordance with thisembodiment, the dynamic filter can identify one or more words orcombinations of words that are repeated immediately adjacent to eachother. For example, the recorded user can say “I think . . . I think mystrengths involve communication.” The dynamic filter in this embodimentcan identify the repetition of the combination of words “I think” andremove the time segment associated with one of the repeatedcombinations.

In some embodiments, the video filtration user interface can provide anaffordance for the user to edit the list of words in a filter. In someembodiments, the video filtration user interface can provide anaffordance for the user to create their own filter using a custom listof one or more words. For example, if the creator's name is known to therecorded user, the creator can create a new filter that comprises thecreator's name. In accordance with this embodiment, the recorded usercan say “Thank you for your time, Jane” during the recorded video. Thevideo filtration process can then identify “Jane” as matching thecreator's name in the new filter and remove the associated time segment.The resulting video and audio can then play back as “Thank you for yourtime” with “Jane” removed.

In some embodiments, the user can create their own customized filter ofwords or combinations of words in different languages. In accordancewith this embodiment, the time-synced transcript can be generated withthe appropriate speech-to-text methods for a particular language. Insome embodiments, the submitted video will be analyzed to detect theused language, and the appropriate speech-to-text method will beselected. The customized filter can then compare words in the customfilter with the time-synced transcript text. In some embodiments, thevideo filtration interface can then play-back the video with timesegments corresponding to the filtered words removed. This has theadvantage of allowing the video filtration user interface to becompatible in other languages.

In some embodiments, the list of filters can be customized for eachindividual recorded video. For example, the recorded user can select adifferent set of filters for each submitted video in a series ofprompts. In some embodiments, the selected set of filters can apply tothe entire series of prompts. For example, a creator can have apreferred set of filters that the creator wishes to be applied to everysubmitted video for every recorded user for this series of prompts. Insome embodiments, a set of preferred filters can be applied by defaultto each submitted video. In some embodiments, the user can edit thedefault set of filters for each individual video.

Examples of filters include but are not limited to: words to avoid,clichés, business clichés, controversial words, profanity, personalwords, hesitation or stalling, job-related words, duplicate words, wordsthat are overused, positive things to say, extra words that areunnecessary, technical jargon words, military jargon words, overlytechnical words, overly academic words.

FIG. 8 illustrates an exemplary interview analysis process in accordancewith some embodiments of the disclosure. At step 801 of the interviewanalysis process, audio and video can be recorded and stored. At step802, the video component of the recording can be processed. At step 806,the video component of the recording can be analyzed for headpositioning, blinking characteristics (e.g., pattern, speed, etc.),smiling characteristics (e.g., large small, small smile, crooked smile,etc.), and friendliness. In some embodiments, the analysis can be basedon the facial expressions, body language, or hand gestures of the user.For example, facial features and dynamics can be analyzed over multipleframes to identify emotional responses and micro expressions. Thisanalysis, in some embodiments, can be used to identify an amount ofsincerity, empathy, or other personality traits. In some embodiments,this analysis can be performed for a predetermined number of frames, asa moving average, or of the entire video as a whole.

At step 803, the audio component of the recording can be processed. Atstep 804, the spoken speech can be transcribed into text. In someembodiments, transcription of the text can support multiple languages.For example, the user can select different languages in which the systemwill provide the interview. In some embodiments, the transcription oftext can support multiple languages within the same recording. Forexample, if the user is practicing to interview for a position requiringuse of multiple languages, the system can transcript and analyze theuser's ability to use multiple languages. At step 805, the audio can beanalyzed to identify the mood of the speaker. In some embodiments, thisanalysis is performed for a predetermined number of frames, as a movingaverage, or of the entire video as a whole. At step 807, the audio canbe analyzed to identify the sentiment of the speaker. In someembodiments, the audio can be analyzed to identify the user's sentimenttoward a particular person or topic. For example, analysis of the user'ssentiment can provide insights into how the user presentshimself/herself and how to improve the user's presentation. At step 808,the audio can be analyzed to identify issues to avoid. For example, apattern matching engine can be used to identify words to avoid, such asclichés, duplicate words, controversial topics, curse words, familyoriented phrases, odd or awkward words or phrases, job related topics,weaseling, jargon, or slang. In some embodiments, step 808 can analyzethe audio for favorable items, such as positive phrases or relevantbuzzwords. At step 809, the audio can be analyzed to determine thetalking speed of the user (e.g., words per minute) and the grade levelof the responses (e.g., sophistication of phrases, grammar, sentencestructure, vocabulary, etc.). In some embodiments, the audio can beanalyzed for pitch, tone, quality, and cadence. The cadence analysis canfurther analyze common verbal habits such as up speak (e.g., endingsentences in an upwards tone that insinuates a question), vocal fry(e.g., ending sentences with a slight growl tone), “YouTube speak”(e.g., mimicking the talking pattern of successful YouTube users), andwords spoken with an accent.

FIG. 10 illustrates an exemplary user interface for requesting feedbackfrom a live coach directly, according to some embodiments. In UI14, theuser can select UI element 1002 to request feedback from a live coach ona recorded video. In response to the user selection, the device displaysa messaging user interface U15. U15 allows the user to initiate amessaging session with the live coach and transmit the recorded video tothe live coach. In some embodiments, the live coach is a human who willwatch the recorded video and provide feedback to the user. In someembodiments, the live coaching feature is a premium feature that theuser must pay to utilize. In some embodiments, the live coaching featurecan be part of a subscription of services that the user is alreadysubscribed to. In UI15, the user can enter one or more messages in achat box 1004. After composing the one or more messages, the user canselect a software button 1008 to transmit the recorded video and the oneor more messages. The one or more messages can be displayed to the livecoach in addition to the recorded video on the live coach's device(e.g., via a different instance of the application installed on the livecoach's device).

In some embodiments, the live coach can send one or more messages backto the user in the messaging session, and the conversation can bedisplayed in UI16. In some embodiments, the user can review the recordedvideo directly from UI16 by selecting UI element 1006.

FIGS. 11-18 illustrate exemplary user interfaces for reviewing andediting media content (e.g., video or audio), according to someembodiments of an editing system. In some embodiments, the userinterfaces can be part of a software application installed on a device(e.g., mobile phone). In some embodiments, the media content can begenerated on the device (e.g., by a camera and a microphone of themobile phone), or generated on a different device and transmitted to thedevice for review and further processing. In the depicted examples, themedia content can be a recording of a user performing a mock interview,and the recording can be transmitted to a remote device (e.g., to a livecoach via the messaging session in FIG. 10). In some embodiments, themedia content can be a self-promotional video generated and edited onthe same device.

In some embodiments, the remote device receives the recorded video(e.g., from the device of a user) and performs speech recognition basedon the recorded video to obtain a transcript. The remote device furtherstores one or more mappings between portions of the recorded video andportions of a transcript. In some embodiments, speech recognition isperformed by the user's device to generate a corresponding time-syncedtranscript. When the user shares the recorded video with the coach(e.g., via UI14-UI16), the user shares the recorded video together withthe corresponding time-synced transcript. In some embodiments, a remoteserver receives the recorded video and performs speech recognition andgenerates the time-synced transcript. The remote server can send one orboth of the recorded video and the time-synced transcript to the user'sdevice or to the remote device, or to both devices.

Each of UI17-19 includes a video region 1102 and a transcript region1104. The video region 1102 can provide a playback of video content. Insome embodiments, the user can interact with video region 1102 to play,pause, fast-forward, rewind, or close out of the video. The transcriptregion 1104 can display a transcript of the recorded video. In someembodiments, the video region 1102 is displayed above the transcriptregion 1104, although any suitable arrangement can be used. In someembodiments, the transcript is a time-synced transcript in accordancewith embodiments described above. In some embodiments, the display ofthe video region and the transcript region are automaticallysynchronized. For example, as the video is played back, the transcriptregion provides the portion of the time-synced transcript correspondingto the speech being played back. In some embodiments, UI17-19 includes amenu region 1110 that provides an affordance for switching menus (e.g.,a feedback menu, a review menu, an editing menu).

The review menu provides a plurality of options for annotating a video.A user can select one or more words in the transcript. In someembodiments, selecting one or more words in the transcript can causemenu region 1106 to present one or more selectable UI elements (e.g.,thumb-up button 1108). In some embodiments, the selected one or morewords in the transcript can be visually distinguishable (e.g.,surrounded by a colored box as shown in UI18). The user can then selectone or more UI elements to apply annotations to the video. Theannotations can then be visually displayed in transcript region 1104. Insome embodiments, the selected one or more words can be visuallydistinguishable (e.g., preceded by an icon corresponding to the thumb-upbutton and shown in a different color as shown in UI19). In someembodiments, the transcript is a time-synced transcript. In someembodiments, the annotation can be visually displayed in video region1102. For example, annotations entered on the transcript can be overlaidon the video in video region 1102 during play-back of the correspondingtime segment. In some embodiments, the visual display of an annotationcomprises a feedback icon selectable by the user.

FIG. 12 depicts an exemplary user interface for providing an annotationon a portion of a transcript, in accordance with some embodiments. Theannotation user interface can allow the user to select (e.g., using amouse or using a finger) a portion of a transcript. In some embodiments,the selected portion is visually distinguishable (e.g., as shown inUI20). The annotation user interface can provide an affordance forswitching to a text-entering user interface (e.g., selecting a UIelement 1203 in UI20, pressing and holding the selected portion). UI21displays an exemplary annotation user interface comprising an inputregion 1202 and a transcript region 1204. Input region 1202 can providean affordance for entering in comments. Input region 1202 can provide anaffordance for textual input (e.g., a keyboard and a text box asdisplayed in UI21), visual input (e.g., a region for drawing),audio/video input (e.g., one or more UI elements that cause a recordingto begin or end), or other inputs. In some embodiments, the transcriptregion 1204 shows only a portion of the complete transcript thatcontains the text selected by the user.

The annotation user interface can provide an affordance for assigning aproperty to the annotation. UI22 displays a plurality of predefinedproperties that can be associated with a comment. The predefinedproperties include: personal, thumbs up, thumbs down, trap, and avoid.Each property can have an associated property icon. UI22 shows anexemplary user interface for selecting a property icon to appear inrelation to the comment or annotation. UI23 illustrates an exemplaryuser interface of an entered annotation. The annotation user interfacemay display the annotation along with the selected property icondisplayed in the transcript region 1104. In some embodiments, the one ormore selected words for commenting can be visually distinguished fromthe rest of the transcript. In the depicted example, the selected wordhas a different color than the rest of the transcript and is preceded bythe selected property icon. In some embodiments, the annotation 1105 isalso shown and visually distinguished from the rest of the transcript.In the depicted example, the annotation 1105 is in a different colortext box than the rest of the transcript. The annotation 1105 can bedisplayed upon the user selection of the icon in the region 1104. Insome embodiments, the annotation also has the selected icon that matchesthe selected property icon.

In some embodiments, the recorded video is paused in video region 1102while the user and enters feedback. In some embodiments, a feedbacksystem can allow the user to enter feedback while the recorded video isplaying. In accordance with those embodiments, the user can selectfeedback buttons 1108 while the recorded video plays in video region1102. The feedback system can store the user's feedback such that therecorded video can be played back with the user's feedback visuallydisplayed on the screen at timestamps where the live coach entered thefeedback. For example, if the user selected the thumbs-up feedback icon1108 at two minutes into the recorded video, the feedback system canstore that information such that the recorded video will display athumbs-up icon two minutes in. In some embodiments, the feedback canalso be reflected in the time-synced transcript.

FIGS. 13-18 illustrate a user interface for a text-based video editor,in accordance with some embodiments. A text-based video editor can allowa user to edit a video by editing a time-synced transcript of the video.In accordance with some embodiments, the user can delete or rearrangeportions of text in the time-synced transcript. In accordance with someembodiments, the text-based video editor can then edit the videoaccordingly so that the output video is an edited version that reflectsthe edited time-synced transcript.

In some embodiments, the user interface of the text-based video editorcan comprise a video region 1302, a transcript region 1304, and anediting region 1306, as shown in UI24 of FIG. 13. In some embodiments,the video region 1302 is displayed at the top of the user interface, theediting region 1306 is displayed below video region 1302, and thetranscript region 1304 is displayed below editing region 1306. However,it should be appreciated that other arrangements can be used.

In some embodiments, video region 1302 displays a recorded video. Insome embodiments, the user can interact with video region 1302 to play,pause, fast-forward, rewind, or close out of the recorded video. In someembodiments, transcript region 1304 will display a time-syncedtranscript of the recorded video. As described in accordance withembodiments of FIG. 9, a time-synced transcript can associatetranscribed words and pauses with the corresponding time segment in therecorded video.

In some embodiments, the user can select portions of the time-syncedtranscript to remove (e.g., using a mouse or using a finger). Forexample, UI25 illustrates the user having selected the ellipsisrepresenting a pause. The selection can be visually distinguished. Theuser can then select editing element 1308, which can remove the ellipsisfrom the time-synced transcript. In some embodiments, the removedportions will be visually displayed in the transcript region 1304. Forexample, in UI26, the removed portion is marked in a different color andis struck-through. However, other methods of visually distinguishing theremoved portion can be used. The removed portion can also simply not beshown in the transcript region 1304. FIG. 14 illustrates an embodimentwhere the user has also removed the text “yeah so” from the time-syncedtranscript.

In some embodiments, the removed portions will cause the text-basedvideo editor to create an edited video where the associated timesegments of the removed portions are removed from the recorded video.For example, FIG. 14 can depict an embodiment where the output videobegins at “I just started,” with the pause and “yeah so” removed fromthe beginning of the recorded video.

FIG. 15 illustrates a user interface for correcting the time-syncedtranscript, in accordance with some embodiments. In UI27, the user canselect one or more words that have been inaccurately transcribed. Theuser can then select editing element 1502 to correct the transcription.In some embodiments, the user can correct the transcription by manuallyentering in the correct transcription. In some embodiments, thetext-based video editor can display one or more correction options forthe user to select. In some embodiments, the corrected portion of thetranscription will be visually distinguishable in transcript region1304. In some embodiments, the corrected portion of the transcriptionwill be distinguishable both from the unedited portions of thetranscription and the removed portions of the transcription.

FIG. 16 illustrates a user interface for customizing the segmentation ofthe time-synced transcript, in accordance with some embodiments. InUI29, the user can select a location where the user desires to create anew transcript segment. In some embodiments, the location can be a wordthat the user wishes to be the start of a new transcript segment. Theuser can then select editing element 1602, which causes a new transcriptsegment to be created at the user's selected location. In someembodiments, the new transcript segment is visually distinguishable fromother transcript segments. For example, in UI30, two transcript segmentsare indicated by two separate text boxes, although other visualdistinctions can be used.

In some embodiments, the user can edit the recorded video by rearrangingtranscript segments. In some embodiments, the user can rearrange thetranscript segments by selecting, holding, and dragging a visualindicator. In some embodiments, the visual indicator can be a grabhandle that comprises three horizontal lines stacked on top of eachother, although other suitable indicators can be used. In someembodiments, the text-based video editor can output an edited video thatplays the video segments in the order corresponding to the rearrangedtranscript segments. In some embodiments, the user can play back theedited video directly within the user interface in the video region1302.

FIG. 17 illustrates a user interface for adding an annotation to thetime-synced transcript in accordance with embodiments described above.

FIG. 18 illustrates a user interface for adding subtitles to therecorded video such that the output video will display subtitles. Insome embodiments, the user interface will comprise a video region 1802,a subtitle region 1804, and a menu region 1806. In some embodiments, thevideo region 1802 is located at the top of the user interface, and thevideo region can play back the recorded video. In some embodiments, thesubtitle region 1804 is located at the bottom of the user interface. Insome embodiments, the menu region 1806 is located in between the videoregion 1802 and the subtitle region 1804. The menu region 1806 can allowthe user to switch between different user interfaces. For example, themenu region 1806 can allow the user to switch between the editing userinterface and the subtitle user interface.

In some embodiments, subtitle region 1804 will comprise a visualtimeline that corresponds to a video playback timeline. For example, ifthe recorded video is two minutes long, the visual timeline can show upto two minutes. In some embodiments, only part of the visual timeline isshowed in the user interface. In some embodiments, the user can scrollthe subtitle region 1804 to show different parts of the visual timeline.

In some embodiments, subtitle region 1804 will comprise one or more UIelements 1808. UI element 1808 can comprise text that will be displayedas a subtitle in the recorded video. UI element 1808 can also displaythe length of time that the subtitle should appear for. UI element 1808can be automatically generated based on the time-synced transcript(e.g., the transcript and a plurality of mappings between portions ofthe transcript and timestamps). In some embodiments, the user can changeboth the subtitle text and the length of time the subtitle should appearfor. In some embodiments, UI element 1808 is located on the visualtimeline relative to where in the video playback timeline the subtitleshould appear. For example, if the user desires to place a subtitle at 2seconds into the recorded video, UI element 1808 can be located on thevisual timeline at 2 seconds.

In some embodiments, UI element 1808 can also be dynamically sizedrelative to the timeline. For example, if the user further desires thesubtitle to appear for one second, UI element 1808 can be displayed onthe visual timeline as beginning at 2 seconds and ending at 3 seconds.In some embodiments, the subtitle on the output video will then begin at2 seconds into the output video, be displayed for one second, and thendisappear at 3 seconds into the output video.

In some embodiments, the user can also rearrange UI element 1808 on thevisual timeline. In some embodiments, the user can select, hold, anddrag UI element 1808 to a different location on the visual timeline. Insome embodiments, UI element 1808 will comprise a visual indicator wherethe user can select, hold, and drag UI element 1808. For example, thevisual indicator can be UI element 1810, or the visual indicator can beUI element 1812.

In some embodiments, subtitle region 1804 can comprise a playbackindicator 1814. According to some embodiments, playback indicator 1814can move relative to the visual timeline while the recorded video playsin video region 1802. In some embodiments, playback indicator 1814indicates the current place of the video playback timeline on the visualtimeline. For example, if the recorded video is paused at 2.2 seconds,the playback indicator 1814 can be located on the visual timelinebetween 2 seconds and 3 seconds. According to embodiments where therecorded video is playing in video region 1802, the visual indicator canmove on the visual timeline accordingly.

In some embodiments, the editing system performs the edits (e.g.,cutting frames, rearranging portions, adding subtitles) directly duringplayback of the recorded video in the video region. In some embodiments,the edits are not finalized until the recorded video is exported toallow the user to see what edits have been made and to reverse edits oradd additional edits. For example, until the user selects to finalizethe video, the system leaves the original video unmodified, butgenerates and stores representations of the edits in association withthe original video. A representation of an edit can comprise one or moretimestamps, the type of edit, the corresponding transcript portion, thecorresponding video portion, or any combination thereof. For example,when the user removes a word from the transcript, the system generates arepresentation of the edit, which comprises the timestamps indicatingthe beginning and the end of the utterance of the word in the video andthe type of edit (i.e., removal). As another example, when the userreverses two video segments, the system generates a representation ofthe edit, which comprises a sequence of timestamp ranges, with eachtimestamp range representing a video segment (e.g., playing 0.5 s-0.06first, then 0 s-0.4 s). As another example, when the user edits asubtitle (e.g., the content or duration), the system updates a textfile, which comprises a plurality of text strings representation theplurality of subtitles and the beginning and ending timestampscorresponding to each text string. As discussed above, the initialversion of the text file can be automatically generated based on thetime-synced transcript (e.g., a transcript and a plurality of mappingsbetween portions of the transcript and the corresponding timestamps). Insome embodiments, the system aggregates multiple edits to generate asingle representation of all the edits. For example, the aggregatededits can comprises a sequence of timestamp ranges, with each timestamprange representing a video segment.

As such, the system can provide a preview of the edited video by playingback and/or skipping segments of the original video and overlaying textstrings on the video based on the stored representations of edits,without altering the original video. After the user selects to finalizethe video, the system generates a new video file based on the originalvideo file and the representations of edits.

In some embodiments, the editing system uses the Core Video framework oniOS to play edits back live. In some embodiments, the exported video isa standard video file format. In some embodiments, the exported videodoes not show removed portions, and in some embodiments, the exportedvideo is compatible across platforms. In some embodiments, the exportedvideo can be shared directly to social media platforms.

The editing system has the advantage of being a more convenient way ofediting videos than editing the video directly. Direct editing of thevideo can require the user to watch and re-watch the recorded video toidentify the precise time that a cut should be made. The editing system,in accordance with some embodiments, can allow a user to simply scrollthrough a time-synced transcript and identify where a cut should bemade. The editing system further has the advantage of not requiring acomplicated UI that shows a ribbon of video frames. It is desirable toenable video editing on-the-fly using a mobile device that can bothrecord the video and then edit the video without exporting the recordedvideo to a more powerful computer. The editing system enables this byemploying a simple UI that can still achieve the same results as directvideo editors in an easier, more accessible manner.

In some embodiments, any or all of the above analysis steps (e.g., 804,805, 806, 807, 808, or 809) can be performed by artificial intelligence,machine learning, neural network, or other suitable means. Although FIG.8 illustrates the steps as sequential steps, this is meant to beillustrative of one embodiment and not limiting. Any or all of thesesteps can be performed in parallel or can be performed in an orderdifferent from those shown without departing from the scope of thisdisclosure. In some embodiments, the audio and video components can beanalyzed together (i.e. not processed separately, or in separate steps).

In some embodiments, the embodiments described above can be implementedon an electronic device or other suitable computing system. The systemmay include, but is not limited to known components such as centralprocessing unit (CPU), storage, memory, network adapter, power supply,input/output (I/O) controllers, electrical bus, one or more displays,one or more user input devices, and other external devices. It will beunderstood by those skilled in the art that system may contain otherwell-known components which may be added, for example, via expansionslots, or by any other method known to those skilled in the art. Suchcomponents may include, but are not limited, to hardware redundancycomponents (e.g., dual power supplies or data backup units), coolingcomponents (e.g., fans or water-based cooling systems), additionalmemory and processing hardware, and the like.

The system may be, for example, in the form of a client-server computercapable of connecting to and/or facilitating the operation of aplurality of workstations or similar computer systems over a network. Inanother embodiment, the system may connect to one or more workstationsover an intranet or internet network, and thus facilitate communicationwith a larger number of workstations or similar computer systems. Evenfurther, the system may include, for example, a main workstation or maingeneral purpose computer to permit a user to interact directly with acentral server. Alternatively, the user may interact with the system viaone or more remote or local workstations. As will be appreciated by oneof ordinary skill in the art, there may be any practical number ofremote workstations for communicating with the system.

The CPU on the system may include one or more processors, for exampleIntel® Core™ i7 processors, AMD FX™ Series processors, ARM-basedprocessors (e.g., Apple® Ax family processors, Samsung® Exynos™ seriesprocessors, or other ARM-based processors) or other processors as willbe understood by those skilled in the art (e.g., including graphicalprocessing unit (GPU)-style specialized computing hardware used for,among other things, machine learning applications, such as trainingand/or running the machine learning algorithms of the disclosure). CPUmay further communicate with an operating system, such as Windows NT®operating system by Microsoft Corporation, Linux operating system, or aUnix-like operating system. However, one of ordinary skill in the artwill appreciate that similar operating systems may also be utilized.Storage (e.g., non-transitory computer readable medium) may include oneor more types of storage, as is known to one of ordinary skill in theart, such as a hard disk drive (HDD), solid state drive (SSD), hybriddrives, and the like. In one example, storage is utilized topersistently retain data for long-term storage. Memory (e.g.,non-transitory computer readable medium) may include one or more typesof memory as is known to one of ordinary skill in the art, such asrandom access memory (RAM), read-only memory (ROM), hard disk or tape,optical memory, or removable hard disk drive. Memory may be utilized forshort-term memory access, such as, for example, loading softwareapplications or handling temporary system processes.

As will be appreciated by one of ordinary skill in the art, storageand/or memory may store one or more computer software programs. Suchcomputer software programs may include logic, code, and/or otherinstructions to enable processor to perform the tasks, operations, andother functions as described herein (e.g., the analysis, video playback,video editing, etc. functions described herein), and additional tasksand functions as would be appreciated by one of ordinary skill in theart. Operating system may further function in cooperation with firmware,as is well known in the art, to enable processor to coordinate andexecute various functions and computer software programs as describedherein. Such firmware may reside within storage and/or memory.

Moreover, I/O controllers may include one or more devices for receiving,transmitting, processing, and/or interpreting information from anexternal source, as is known by one of ordinary skill in the art. In oneembodiment, I/O controllers may include functionality to facilitateconnection to one or more user devices, such as one or more keyboards,mice, microphones, trackpads, touchpads, or the like. For example, I/Ocontrollers may include a serial bus controller, universal serial bus(USB) controller, FireWire controller, and the like, for connection toany appropriate user device. I/O controllers may also permitcommunication with one or more wireless devices via technology such as,for example, near-field communication (NFC) or Bluetooth™. In oneembodiment, I/O controllers may include circuitry or other functionalityfor connection to other external devices such as modem cards, networkinterface cards, sound cards, printing devices, external displaydevices, or the like. Furthermore, I/O controllers may includecontrollers for a variety of display devices known to those of ordinaryskill in the art. Such display devices may convey information visuallyto a user or users in the form of pixels, and such pixels may belogically arranged on a display device in order to permit a user toperceive information rendered on the display device. Such displaydevices may be in the form of a touch-screen device, traditionalnon-touch screen display device, or any other form of display device aswill be appreciated be one of ordinary skill in the art.

Furthermore, a CPU may further communicate with I/O controllers forrendering a graphical user interface (GUI) (e.g., the GUIs describedwith reference to FIGS. 1-8) on, for example, one or more displaydevices. In one example, the CPU may access storage and/or memory toexecute one or more software programs and/or components to allow a userto interact with the system as described herein. In one embodiment, aGUI as described herein includes one or more icons or other graphicalelements with which a user may interact and perform various functions.For example, the GUI may be displayed on a touch screen display device,whereby the user interacts with the GUI via the touch screen byphysically contacting the screen with, for example, the user's fingers.As another example, GUI may be displayed on a traditional non-touchdisplay, whereby the user interacts with the GUI via keyboard, mouse,and other conventional I/O components. The GUI may reside in storageand/or memory, at least in part as a set of software instructions, aswill be appreciated by one of ordinary skill in the art. Moreover, theGUI is not limited to the methods of interaction as described above, asone of ordinary skill in the art may appreciate any variety of means forinteracting with a GUI, such as voice-based or other disability-basedmethods of interaction with a computing system.

Moreover, a network adapter may permit device to communicate withnetwork. Network adapter may be a network interface controller, such asa network adapter, network interface card, LAN adapter, or the like. Aswill be appreciated by one of ordinary skill in the art, network adaptermay permit communication with one or more networks, such as, forexample, a local area network (LAN), metropolitan area network (MAN),wide area network (WAN), cloud network (IAN), or the Internet.

One or more workstations may include, for example, known components suchas a CPU, storage, memory, network adapter, power supply, I/Ocontrollers, electrical bus, one or more displays, one or more userinput devices, and other external devices. Such components may be thesame, similar, or comparable to those described with respect to systemabove. It will be understood by those skilled in the art that one ormore workstations may contain other well-known components, including butnot limited to hardware redundancy components, cooling components,additional memory/processing hardware, and the like.

The foregoing description, for purpose of explanation, has beendescribed with reference to specific embodiments. However, theillustrative discussions above are not intended to be exhaustive or tolimit the invention to the precise forms disclosed. Many modificationsand variations are possible in view of the above teachings. Theembodiments were chosen and described in order to best explain theprinciples of the invention and its practical applications, to therebyenable others skilled in the art to best use the invention and variousdescribed embodiments with various modifications as are suited to theparticular use contemplated.

We claim:
 1. A method comprising: at an electronic device that is incommunication with a display and one or more input devices: receiving,via the one or more input devices, a user selection indicative of aquestion category for an interview; providing a plurality of promptscorresponding to the question category; receiving, via the one or moreinput devices, media data corresponding to a user's responses to theplurality of prompts; generating a transcript based on the media data;analyzing the transcript to identify a portion of the transcript andidentify a feedback based on the portion of the transcript; displaying auser interface comprising: a media representation representing aplayback of the received media data; and a feedback pane; while playingback a portion of the media data corresponding to the portion of thetranscript in the user interface: displaying a graphical representationoverlaid on the media representation wherein the graphicalrepresentation is based on the feedback; and displaying, in the feedbackpane, the portion of the transcript and the feedback.
 2. The method ofclaim 1, wherein the media data is generated on the electronic device.3. The method of claim 1, wherein the media data is generated on aremote device.
 4. The method of claim 1, wherein the graphicalrepresentation is indicative of an analysis regarding speech.
 5. Themethod of claim 1, the method further comprising merging the graphicalrepresentation with the media representation.
 6. The method of claim 1,further comprising: generating, at the electronic device, a filteredmedia representation of the media data, wherein generating the filteredmedia representation of the media data includes removing, from the mediarepresentation, one or more portions of the media representation of themedia data corresponding to selected ones of the user's responses to theplurality of prompts.
 7. The method of claim 1, wherein the feedback isassociated with a respective time in the media data.
 8. The method ofclaim 7, wherein the feedback pane is scrollable.
 9. The method of claim7, wherein a feedback representation of the plurality of feedbackrepresentations comprises a textual explanation of the graphicalrepresentation.
 10. The method of claim 7, further comprising:synchronizing a display of the region with the playback of the mediadata.
 11. The method of claim 7, further comprising: receiving a userselection of a feedback representation of the plurality of feedbackrepresentations; in response to receiving the user selection, updatingthe playback of the media data.
 12. The method of claim 1, wherein asecond feedback and the feedback pane is displayed.
 13. The method ofclaim 1, wherein the portion of the transcript is associated with a timesegment of the media data.
 14. The method of claim 13, wherein thefeedback is associated with the time segment of the media data.
 15. Themethod of claim 1, wherein analyzing the transcript comprisesidentifying one or more words in the transcript that correspond toundesirable speech.
 16. The method of claim 15, wherein the undesirablespeech includes at least one selected from cliché s, duplicate words,controversial topics, curse words, family oriented phrases, awkwardphrases, job related topics, jargon, or slang.
 17. The method of claim1, wherein analyzing the transcript comprises identifying one or morewords in the transcript that correspond to desirable speech.
 18. Themethod of claim 17, wherein the desirable speech includes at least oneselected from positive phrases or buzzwords.
 19. An electronic device,comprising: a display; one or more input devices; one or moreprocessors; a memory; and one or more programs, wherein the one or moreprograms are stored in the memory and configured to be executed by theone or more processors, the one or more programs including instructionsfor: receiving, via the one or more input devices, a user selectionindicative of a question category for an interview; providing aplurality of prompts corresponding to the question category; receiving,via the one or more input devices, media data corresponding to a user'sresponses to the plurality of prompts; generating a transcript based onthe media data; analyzing the transcript to identify a portion of thetranscript and identify a feedback based on the portion of thetranscript; displaying a user interface comprising: a mediarepresentation representing a playback of the received media data; and afeedback pane; while playing back a portion of the media datacorresponding to the portion of the transcript in the user interface:displaying a graphical representation overlaid on the mediarepresentation wherein the graphical representation is based on thefeedback; and displaying, in the feedback pane, the portion of thetranscript and the feedback.
 20. A non-transitory computer-readablestorage medium storing one or more programs, the one or more programscomprising instructions, which when executed by one or more processorsof an electronic device having a display, cause the electronic deviceto: receive, via the one or more input devices, a user selectionindicative of a question category for an interview; provide a pluralityof prompts corresponding to the question category; receive, via the oneor more input devices, media data corresponding to a user's responses tothe plurality of prompts; generate a transcript based on the media data;analyze the transcript to identify a portion of the transcript andidentify a feedback based on the portion of the transcript; display auser interface comprising: a media representation representing aplayback of the received media data; and a feedback pane; while playingback a portion of the media data corresponding to the portion of thetranscript in the user interface: display a graphical representationoverlaid on the media representation wherein the graphicalrepresentation is based on the feedback; and display, in the feedbackpane, the portion of the transcript and the feedback.